Director of Product Analytics

Lead product analytics team driving data-driven product innovations, manage high-performance analysts, collaborate on complex projects, and foster team growth.

Full-time
Director
On-Site

Lead product analytics team driving data-driven product innovations, manage high-performance analysts, collaborate on complex projects, and foster team growth.

Industry Not Specified

Salary Not Specified

Lemonade

HQ:
New York City, New York, United States
Industry Not Specified
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Lemonade is a digital insurance company offering renters, homeowners, pet, life, and car coverage powered by AI and behavioral economics.

1000+ employees
IPO / Public

Lemonade

has

6

open

product

roles

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📝 Job Description

We’re looking for a senior and strategic leader to join our Product Analytics team. Our ideal candidate is an expert in product analytics, is passionate about championing a data-driven approach to fuel product innovations, while being able to inspire, challenge, and grow top-tier talent. 

You will manage a group of high-performance data analysts,  responsible for defining and executing Product org’s data strategy as we build an AI-ready analytics stack. 

In this role you’ll

  • Partner with senior Product leadership to develop and execute a forward-looking product data analytics vision and strategy 

  • Lead and mentor a talented team of managers and data analysts, fostering craftsmanship and career growth

  • Stay up-to-date with emerging trends and best practices in product analytics, creating an AI-ready analytics stack

  • Manage and improve processes to balance between long-term, high-effort strategic projects and short-term, quick wins

  • Collaborate with other Analytics teams, Data Platform, and R&D to drive complex, cross-functional data projects

What you’ll need

  • 10+ years in product analytics with a track record of steering data strategy for fast-growing companies 

  • 5+ years as a manager leading and developing high performance teams

  • Deep knowledge of web and app analytics, experimentation design, and frameworks for assessing product opportunities and quantifying impact

  • Hands-on experience with modern data analytics tools (e.g. Snowflake, Looker, dbt, Mixpanel, Segment)

  • Excellent communication skills and the ability to distill complex data into actionable narratives for both technical and non-technical audiences

  • Superb problem-solving skills and demonstrated success influencing senior stakeholders and transforming data insights into product and revenue impact

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field

  • Ability to work in an office environment a minimum of 3 days a week 

  • Enthusiasm about learning and adapting to the exciting world of AI –  a commitment to exploring this field is a fundamental part of our culture